Pinecone assistant

Skill pinecone-io/skills/skills/pinecone-assistant

Pinecone's official Agent Skills library, for use with agentic IDEs such as Cursor, Github Copilot, Antigravity, Gemini CLI and more.

Install

npx -y skills add pinecone-io/skills --skill pinecone-assistant

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Create, manage, and chat with Pinecone Assistants for document Q&A with citations. Handles all assistant operations - create, upload, sync, chat, context retrieval, and list. Recognizes natural language like "create an assistant from my docs", "ask my assistant about X", or "upload my docs to Pinecone".

SKILL.md

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Pinecone Assistant

Pinecone Assistant is a fully managed RAG service. Upload documents, ask questions, get cited answers. No embedding pipelines or infrastructure required.

All scripts are in scripts/ relative to this skill directory. Run with: uv run scripts/script_name.py [arguments]

Operations

What to do	Script	Key args
Create an assistant	`scripts/create.py`	`--name` `--instructions` `--region`
Upload files	`scripts/upload.py`	`--assistant` `--source` `--patterns`
Sync files (incremental)	`scripts/sync.py`	`--assistant` `--source` `--delete-missing` `--dry-run`
Chat / ask a question	`scripts/chat.py`	`--assistant` `--message`
Get context snippets	`scripts/context.py`	`--assistant` `--query` `--top-k`
List assistants	`scripts/list.py`	`--files` `--json`

For full workflow details on any operation, read the relevant file in references/.

Natural Language Recognition

Proactively handle these patterns without requiring explicit commands:

Create: "create an assistant", "make an assistant called X", "set up an assistant for my docs" → See references/create.md

Upload: "upload my docs", "add files to my assistant", "index my documentation" → See references/upload.md

Sync: "sync my docs", "update my assistant", "keep assistant in sync", "refresh from ./docs" → See references/sync.md

Chat: "ask my assistant about X", "what does my assistant know about X", "chat with X" → See references/chat.md

Context: "search my assistant for X", "find context about X" → See references/context.md

List: "show my assistants", "what assistants do I have" → Run uv run scripts/list.py

Conversation Memory

Track the last assistant used within the conversation:

When a user creates or first uses an assistant, remember its name
If user says "my assistant", "it", or "the assistant" → use the last one
Briefly confirm which assistant you're using: "Asking docs-bot..."
If ambiguous and multiple exist → ask the user to clarify

Multi-Step Requests

Handle chained requests naturally. Example:

"Create an assistant called docs-bot, upload my ./docs folder, and ask what the main features are"

uv run scripts/create.py --name docs-bot
uv run scripts/upload.py --assistant docs-bot --source ./docs
uv run scripts/chat.py --assistant docs-bot --message "what are the main features?"

Prerequisites

PINECONE_API_KEY must be available — terminal: export PINECONE_API_KEY="your-key", or add to a .env file and run scripts with uv run --env-file .env scripts/...
uv must be installed — install uv
Get a free API key at: https://app.pinecone.io/?sessionType=signup